System-Theoretic Principles and Decentralized Sensor Network and Control Algorithms for Dynamic Data-Driven
Abstract
Situational awareness and response technologies using interconnected static and mobile sensorshave the capability to enhance combat power and to contribute to the success of noncombatmilitary operations. With this one-year seed funding, this project will establish the fundamentalbasis of a novel integrated multiagent estimation and control framework for enabling correct,reliable, and communication-efficient dynamic data-driven situational awareness and responseapplications through two synergistic research tasks: A) Develop a decentralized informationfusion framework for situational awareness in the presence of heterogeneity resulting from thesensing capabilities of nodes and nonidentical sensor types with complementary propertiesdistributed over the network. B) Integrate the decentralized information fusion framework withcommunication-efficient multiagent navigation and adaptive optimal control approach. Thefundamental basis of a novel integrated multiagent estimation and control framework to beestablished through this one-year seed funding will significantly advance the state-of-the-art indecentralized estimation, intelligent control, wireless sensor networks, and networked multiagentsystems and provide insights on how to design, implement, and maintain high-confidence andhigh-performance dynamic data driven multiagent estimation and control systems. Our resultscan impact a broad range of Department of Defense situational awareness and response missionsinvolving but not limited to battlefield surveillance, target tracking, search and rescue missions,nuclear, biological, and chemical attack detection, and monitoring enemy forces.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Sep 11, 2017
- Source ID
- FA95501710303
Entities
People
- Tansel Yucelen
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of South Florida